3 papers
cs.IT2021
A Reinforcement Learning Approach for Scheduling in mmWave Networks
Mine Gokce Dogan, Yahya H. Ezzeldin, Christina Fragouli +1
We consider a source that wishes to communicate with a destination at a desired rate, over a mmWave network where links are subject to blockage and nodes to failure (e.g., in a hos…
cs.RO2021
A Resilient and Energy-Aware Task Allocation Framework for Heterogeneous Multi-Robot Systems
Gennaro Notomista, Siddharth Mayya, Yousef Emam +4
In the context of heterogeneous multi-robot teams deployed for executing multiple tasks, this paper develops an energy-aware framework for allocating tasks to robots in an online f…
cs.RO2020
Adaptive Task Allocation for Heterogeneous Multi-Robot Teams with Evolving and Unknown Robot Capabilities
Yousef Emam, Siddharth Mayya, Gennaro Notomista +2
For multi-robot teams with heterogeneous capabilities, typical task allocation methods assign tasks to robots based on the suitability of the robots to perform certain tasks as wel…